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accession-icon SRP056436
Survival rate and transcriptional response upon infection with the generalist parasite Beauveria bassiana in a world-wide sample of Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The ability to cope with infection by a parasite is one of the major challenges for any host species and is a major driver of evolution. Parasite pressure differs between habitats. It is thought to be higher in tropical regions compared to temporal ones. We infected Drosophila melanogaster from two tropical (Malaysia and Zimbabwe) and two temperate populations (the Netherlands and North Carolina) with the generalist entomopathogenic fungus Beauveria bassiana to examine if adaptation to local parasite pressures led to differences in resistance. Contrary to previous findings we observed increased survival in temperate populations. This, however, is not due to increased resistance to infection per se, but rather the consequence of a higher general vigor of the temperate populations. We also assessed transcriptional response to infection within these flies eight and 24 hours after infection. Only few genes were induced at the earlier time point, most of which are involved in detoxification. In contrast, we identified more than 4,000 genes that changed their expression state after 24 hours. This response was generally conserved over all populations with only few genes being uniquely regulated in the temperate populations. We furthermore found that the American population was transcriptionally highly diverged from all other populations concerning basal levels of gene expression. This was particularly true for stress and immune response genes, which might be the genetic basis for their elevated vigor. Overall design: mRNA profiles of whole Drosophila melanogaster adult males from an African, American, Asian and European population after infection with Beauveria bassiana. Samples include uninfected controls, 8h after infection and 24h after infection. 3 biological replicates each (2 in the case of American controls).

Publication Title

Survival Rate and Transcriptional Response upon Infection with the Generalist Parasite Beauveria bassiana in a World-Wide Sample of Drosophila melanogaster.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE84568
Immuno-genomic effects of JAK blockade
  • organism-icon Mus musculus
  • sample-icon 332 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part, Compound

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accession-icon GSE84853
Immuno-genomic effects of JAK blockade in vivo
  • organism-icon Mus musculus
  • sample-icon 238 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Small molecule inhibitors of JAK kinases have shown clinical effcacy in the treatment of certain autoimmune diseases. While these are known to block upstream JAK signalling events, their broader impact on the transcriptional footprint in immunocytes are unknown. Here we explore the effects of pan- and isoform-specific JAK blockade on the immuno-genomic network by genomic profiling.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part, Compound

View Samples
accession-icon GSE84560
Effect of JAK blockade on IFNa response in B cells in vitro
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

B cells respond robustly to type 1 interferons which signal through JAK1 and TYK2. Here we analyzed the effects of a panel of JAK inhibitors on the IFNa transcriptional response in activated B cells in vitro.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE84562
Effect of JAK1/3 blockade on IL2 response in NK cells
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

IL2 signals are transmitted through JAK1 and JAK3, but the transcriptomic consequences of each to the overall response is unclear. Here we analyzed the relative contribution of JAK1 and JAK3 to the NK cell IL2 response in vitro using titrated doses of isoform specific JAK inhibitors. Blockade of JAK1 and JAK3 have unequal effects on IL2-induced transcripts at pharmacologically relevant doses.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE84565
Effect of JAK blockade on IFNa response in CD4+ T cells in vitro
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CD4+ T cells respond robustly to type 1 interferons which signal through JAK1 and TYK2. Here we analyzed the effects of a panel of JAK inhibitors on the IFNa transcriptional response in activated CD4+ T cells in vitro.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE84564
NK cell response to IL2 in vitro
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Here we analyzed the transcriptional response to IL2 in NK cells in vitro.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE84561
B cell response to IFNa in vitro
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Here we analyzed thetranscriptional response to IFNa in activated B cells in vitro. We found robust induction of ISGs as early as 2hrs.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE84566
CD4+ T cell response to IFNa in vitro
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Here we analyzed the transcriptional response to IFNa in activated CD4+ T cells in vitro. We found robust induction of ISGs as early as 2hrs.

Publication Title

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE12682
Expression data from Human Kidney (HK) samples
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Males are 50% more likely to develop end stage kidney failure compared to women. In this study we wanted to find out the molecular mechanism responsible for this increased risk. We collected kidney samples from patients with and without kidney disease and performed a comprehensive gene expression analysis in healthy and diseased male and female kidneys.

Publication Title

Human and murine kidneys show gender- and species-specific gene expression differences in response to injury.

Sample Metadata Fields

No sample metadata fields

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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